Comments (3)
PythonImageDeveloper
commented on June 1, 2024
1
Hi
It's likely your model have some new operations that TensoRT currently doesn't support.
You have to define some custom plugin for that nodes or you have to train model with old version of tensorflow or clone old git version of TFOD API, if you use.
from tf_trt_models.
yuqcraft
commented on June 1, 2024
For TF-TRT, what I find out is that after converting the graph with "fp16" just like https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#usage-example. The resulted model is still fp32(DT_FLOAT instead of DT_HALF). I don't know if that's the reason why tf-trt is running much slower than trt?
from tf_trt_models.
gpqls
commented on June 1, 2024
How did you run TensorRT using the UFF converter?I'm having trouble with continuous errors or poor translation.
from tf_trt_models.
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from tf_trt_models.